Published in PLOS ONE. Phage-host interaction prediction tool that uses protein language models to represent the receptor-binding proteins of phages. It presents improvements over handcrafted sequence properties and eliminates the need to manually extract and select features from phage sequences

Q-SupCon integrates quantum principles into supervised contrastive learning, enhancing feature learning with minimal labeled data for efficient image classification, especially in medical applications.

LibCity: An Open Library for Urban Spatial-temporal Data Mining

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

An optimized implementation of spatiotemporal masked autoencoders

[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks

Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️

Saprot: Protein Language Model with Structural Alphabet

Library for metric learning pipelines and models.

[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)

Contrastive representation learning with PyTorch

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

ASCL: adpative Soft Contrastive Learning (ICPR2022)

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

Reading list for research topics in Sound AI

Self-Supervised Speech Pre-training and Representation Learning Toolkit

IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT

clustering methods on short text

Predictive State Propensity Subclassification (PSPS): A causal deep learning algoritm in TensorFlow keras

Machine Learning Code Implementations in Python